The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-01"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "17849853 (up from 17591968 yesterday: 1.47 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "685054 (up from 679439 yesterday: 0.83 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5131945

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.84



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4620444 58406 1.28 1374519 154447 1133 0.74 3.34
Brazil 2707877 45392 1.70 868027 93563 1088 1.18 3.46
India 1750723 54735 3.23 901201 37364 853 2.34 2.13
Russia 843890 5429 0.65 124441 14034 95 0.68 1.66
South Africa 503290 10107 2.05 239106 8153 148 1.85 1.62
Mexico 434193 9556 2.25 138925 47472 784 1.68 10.93
Peru 407492 0 0.00 84782 19021 0 0.00 4.67
Chile 357658 1991 0.56 45629 9533 76 0.80 2.67
Iran 306752 2548 0.84 51635 16982 216 1.29 5.54
Colombia 306181 10673 3.61 165405 10330 225 2.23 3.37
United Kingdom 305572 779 0.26 15068 46278 74 0.16 15.14
Spain 288522 0 0.00 34614 28445 0 0.00 9.86
Pakistan 278305 0 0.00 29433 5951 0 0.00 2.14
Saudi Arabia 277478 1573 0.57 47998 2887 21 0.73 1.04
Italy 247832 295 0.12 5005 35146 5 0.01 14.18
Bangladesh 239860 2199 0.93 58731 3132 21 0.68 1.31
Turkey 231869 996 0.43 19888 5710 19 0.33 2.46
France 225198 1 0.00 17183 30268 0 0.00 13.44
Germany 211005 606 0.29 11296 9154 7 0.08 4.34
Argentina 196543 5241 2.74 99034 3596 53 1.50 1.83
Iraq 126704 2095 1.68 51510 4805 64 1.35 3.79
Canada 118523 242 0.20 9373 8986 6 0.07 7.58
Qatar 110911 216 0.20 7783 174 0 0.00 0.16
Indonesia 109936 1560 1.44 35918 5193 62 1.21 4.72
Philippines 98232 12746 14.91 44010 2039 77 3.92 2.08
Egypt 94316 238 0.25 13158 4834 29 0.60 5.13
Kazakhstan 90367 0 0.00 32114 793 0 0.00 0.88
China 87827 172 0.20 2756 4667 6 0.13 5.31
Ecuador 86232 877 1.03 19023 5736 34 0.60 6.65
Sweden 80422 0 0.00 5524 5743 0 0.00 7.14
Oman 79159 0 0.00 24462 421 0 0.00 0.53
Bolivia 78793 2004 2.61 31593 3064 87 2.92 3.89
Ukraine 72609 1205 1.69 18668 1733 16 0.93 2.39
Israel 72218 1248 1.76 34754 526 14 2.73 0.73
Dominican Republic 71415 1766 2.54 28301 1170 10 0.86 1.64
Belgium 69402 651 0.95 6933 9845 4 0.04 14.19
Belarus 67946 138 0.20 3179 563 4 0.72 0.83
Kuwait 67448 491 0.73 13390 453 6 1.34 0.67
Panama 66383 1127 1.73 22051 1449 28 1.97 2.18
United Arab Emirates 60760 254 0.42 6307 351 0 0.00 0.58
Netherlands 55021 431 0.79 3885 6167 1 0.02 11.21
Singapore 52512 307 0.59 6729 27 0 0.00 0.05
Romania 52111 1225 2.41 20032 2379 36 1.54 4.57
Portugal 51310 238 0.47 5089 1737 2 0.12 3.39
Guatemala 50979 1190 2.39 22381 1959 35 1.82 3.84
Poland 46346 658 1.44 8825 1721 5 0.29 3.71
Nigeria 43537 386 0.89 11550 883 4 0.46 2.03
Honduras 42685 671 1.60 15102 1368 31 2.32 3.20
Bahrain 41190 208 0.51 8720 147 0 0.00 0.36
Armenia 38841 291 0.75 7449 749 11 1.49 1.93
Japan 37804 1570 4.33 16374 1012 4 0.40 2.68
Ghana 37014 1513 4.26 12766 182 0 0.00 0.49
Afghanistan 36710 35 0.10 2344 1283 11 0.86 3.49
Kyrgyzstan 36299 494 1.38 25889 1397 19 1.38 3.85
Switzerland 35412 180 0.51 2595 1981 0 0.00 5.59
Azerbaijan 32157 279 0.88 8636 454 6 1.34 1.41
Algeria 30950 556 1.83 12238 1223 13 1.07 3.95
Ireland 26109 44 0.17 498 1763 0 0.00 6.75
Serbia 25882 330 1.29 7809 582 9 1.57 2.25
Moldova 25113 380 1.54 5905 788 10 1.29 3.14
Morocco 25015 693 2.85 9473 367 14 3.97 1.47
Uzbekistan 24783 774 3.22 12270 147 6 4.26 0.59
Kenya 21363 727 3.52 11637 364 23 6.74 1.70
Austria 21212 82 0.39 2429 718 0 0.00 3.38
Nepal 20086 315 1.59 3367 56 0 0.00 0.28
Venezuela 19443 869 4.68 10265 169 5 3.05 0.87
Costa Rica 18187 367 2.06 10956 154 4 2.67 0.85
Ethiopia 17999 469 2.68 10597 284 10 3.65 1.58
Australia 17269 -11 -0.06 7472 201 0 0.00 1.16
Cameroon 17255 0 0.00 2082 391 0 0.00 2.27
El Salvador 17050 418 2.51 7659 459 11 2.46 2.69
Czechia 16699 125 0.75 3584 383 1 0.26 2.29
Cote d’Ivoire 16109 62 0.39 3666 102 0 0.00 0.63
Korea, South 14366 30 0.21 949 301 0 0.00 2.10
Denmark 14028 0 0.00 881 615 0 0.00 4.38
West Bank and Gaza 12160 323 2.73 6229 83 1 1.22 0.68
Bosnia and Herzegovina 11876 0 0.00 5157 339 0 0.00 2.85
Bulgaria 11836 146 1.25 4661 385 2 0.52 3.25
Sudan 11738 94 0.81 1488 752 6 0.80 6.41
Madagascar 11273 405 3.73 6695 107 1 0.94 0.95
North Macedonia 10891 137 1.27 2916 493 7 1.44 4.53
Senegal 10284 52 0.51 2270 209 4 1.95 2.03

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 506613 6057 1.21 187852 9345 131 1.42 1.84 12821.68 236.51 1 in 78
Florida 480028 9642 2.05 225517 7022 179 2.62 1.46 22350.03 326.94 1 in 45
Texas 444738 6445 1.47 190323 6865 289 4.39 1.54 15337.97 236.76 1 in 65
New York 415767 753 0.18 14738 32694 5 0.02 7.86 21372.28 1680.62 1 in 47
Georgia 190012 3660 1.96 75611 3825 73 1.95 2.01 17896.24 360.26 1 in 56
New Jersey 182029 369 0.20 7070 15830 11 0.07 8.70 20493.71 1782.22 1 in 49
Illinois 181754 1639 0.91 27660 7700 8 0.10 4.24 14343.16 607.65 1 in 70
Arizona 177002 2992 1.72 57072 3747 53 1.43 2.12 23244.19 492.06 1 in 43
North Carolina 124006 1708 1.40 40100 1979 37 1.91 1.60 11823.51 188.69 1 in 85
Massachusetts 118040 428 0.36 6642 8626 17 0.20 7.31 16985.39 1241.24 1 in 59
Pennsylvania 117468 681 0.58 18252 7219 12 0.17 6.15 9175.76 563.90 1 in 109
Louisiana 116280 0 0.00 39477 3949 0 0.00 3.40 25012.94 849.47 1 in 40
Tennessee 108184 2225 2.10 47178 1067 7 0.66 0.99 15832.17 156.15 1 in 63
Ohio 92087 928 1.02 27873 3515 26 0.75 3.82 7878.02 300.71 1 in 127
Michigan 91332 758 0.84 14962 6457 7 0.11 7.07 9145.22 646.55 1 in 109
Virginia 90801 913 1.02 21019 2215 41 1.89 2.44 10638.02 259.50 1 in 94
South Carolina 90599 1583 1.78 35900 1751 39 2.28 1.93 17596.43 340.08 1 in 57
Maryland 89365 1019 1.15 16898 3506 13 0.37 3.92 14781.63 579.92 1 in 68
Alabama 89349 1626 1.85 37402 1603 23 1.46 1.79 18222.65 326.93 1 in 55
Indiana 67122 968 1.46 16043 2971 6 0.20 4.43 9970.26 441.31 1 in 100
Mississippi 59881 1134 1.93 24462 1693 30 1.80 2.83 20120.30 568.86 1 in 50
Washington 57541 1738 3.11 18323 1592 28 1.79 2.77 7556.38 209.06 1 in 132
Minnesota 55188 725 1.33 13617 1646 6 0.37 2.98 9785.74 291.86 1 in 102
Wisconsin 54002 1062 2.01 18323 947 13 1.39 1.75 9274.82 162.65 1 in 108
Missouri 51632 1016 2.01 24026 1276 11 0.87 2.47 8412.64 207.90 1 in 119
Connecticut 49810 0 0.00 2523 4432 0 0.00 8.90 13970.82 1243.10 1 in 72
Nevada 49074 986 2.05 22236 832 2 0.24 1.70 15932.31 270.12 1 in 63
Colorado 47249 458 0.98 10676 1844 6 0.33 3.90 8204.75 320.21 1 in 122
Iowa 45293 540 1.21 10635 874 2 0.23 1.93 14355.62 277.01 1 in 70
Arkansas 43173 662 1.56 15309 458 5 1.10 1.06 14306.00 151.76 1 in 70
Utah 40702 506 1.26 11847 310 6 1.97 0.76 12695.74 96.69 1 in 79
Oklahoma 37731 1244 3.41 17952 549 8 1.48 1.46 9535.32 138.74 1 in 105
Kentucky 30723 572 1.90 11602 740 5 0.68 2.41 6876.73 165.63 1 in 145
Kansas 27592 228 0.83 8905 358 0 0.00 1.30 9471.00 122.88 1 in 106
Nebraska 26391 180 0.69 5393 332 0 0.00 1.26 13642.93 171.63 1 in 73
Idaho 21110 394 1.90 10604 197 9 4.79 0.93 11779.71 109.93 1 in 85
New Mexico 20796 196 0.95 6023 651 9 1.40 3.13 9917.83 310.47 1 in 101
Rhode Island 19022 0 0.00 1710 1007 0 0.00 5.29 17956.11 950.57 1 in 56
Oregon 18817 325 1.76 6966 325 3 0.93 1.73 4461.40 77.06 1 in 224
Puerto Rico 17872 1091 6.50 8506 225 6 2.74 1.26 5596.03 70.45 1 in 179
Delaware 14877 89 0.60 2134 585 0 0.00 3.93 15277.83 600.76 1 in 65
District of Columbia 12057 0 0.00 1256 584 0 0.00 4.84 17083.98 827.49 1 in 59
South Dakota 8867 103 1.18 1413 134 4 3.08 1.51 10023.07 151.47 1 in 100
West Virginia 6738 159 2.42 2592 116 0 0.00 1.72 3770.26 64.91 1 in 265
New Hampshire 6614 31 0.47 590 416 1 0.24 6.29 4864.27 305.95 1 in 206
North Dakota 6602 133 2.06 2359 103 0 0.00 1.56 8663.34 135.16 1 in 115
Montana 4081 116 2.93 2404 61 1 1.67 1.49 3818.38 57.07 1 in 262
Maine 3937 25 0.64 417 123 0 0.00 3.12 2928.85 91.50 1 in 341
Alaska 3136 146 4.88 1751 24 1 4.35 0.77 4286.82 32.81 1 in 233
Wyoming 2769 43 1.58 930 26 0 0.00 0.94 4784.37 44.92 1 in 209
Hawaii 2197 86 4.07 997 26 0 0.00 1.18 1551.69 18.36 1 in 644
Vermont 1421 7 0.50 138 57 0 0.00 4.01 2277.28 91.35 1 in 439

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 7886587 506613 6.42 2610892 187852 7.19 199598.67
2 Florida 3679443 480028 13.05 1204144 225517 18.73 171314.28
3 Texas 3747779 444738 11.87 1318155 190323 14.44 129252.12
4 New York 5971974 415767 6.96 1361197 14738 1.08 306986.16
5 Georgia 1596085 190012 11.90 531212 75611 14.23 150326.97
6 New Jersey 2096698 182029 8.68 435414 7070 1.62 236056.42
7 Illinois 2740658 181754 6.63 795438 27660 3.48 216279.73
8 Arizona 948650 177002 18.66 264660 57072 21.56 124578.24
9 North Carolina 1786412 124006 6.94 610354 40100 6.57 170327.77
10 Massachusetts 1188430 118040 9.93 242096 6642 2.74 171009.35
11 Pennsylvania 1232322 117468 9.53 319999 18252 5.70 96260.20
12 Louisiana 1342243 116280 8.66 417796 39477 9.45 288729.29
13 Tennessee 1542853 108184 7.01 535739 47178 8.81 225788.63
14 Ohio 1492903 92087 6.17 509868 27873 5.47 127717.53
15 Michigan 1876830 91332 4.87 602708 14962 2.48 187930.00
16 Virginia 1127361 90801 8.05 341026 21019 6.16 132078.79
17 South Carolina 711869 90599 12.73 223779 35900 16.04 138261.52
18 Maryland 929354 89365 9.62 300077 16898 5.63 153722.00
19 Alabama 697371 89349 12.81 195351 37402 19.15 142228.16
20 Indiana 758606 67122 8.85 200460 16043 8.00 112682.91
21 Mississippi 461473 59881 12.98 127130 24462 19.24 155057.09
22 Washington 973654 57541 5.91 305188 18323 6.00 127861.81
23 Minnesota 846268 55188 6.52 104173 13617 13.07 150057.31
24 Wisconsin 954003 54002 5.66 268419 18323 6.83 163849.52
25 Missouri 696745 51632 7.41 222195 24026 10.81 113523.94
26 Connecticut 793996 49810 6.27 235787 2523 1.07 222701.85
27 Nevada 474220 49074 10.35 132987 22236 16.72 153959.73
28 Colorado 533403 47249 8.86 147542 10676 7.24 92625.01
29 Iowa 478970 45293 9.46 110609 10635 9.61 151809.63
30 Arkansas 514581 43173 8.39 144932 15309 10.56 170513.86
31 Utah 533260 40702 7.63 127908 11847 9.26 166334.06
32 Oklahoma 637192 37731 5.92 217376 17952 8.26 161030.24
33 Kentucky 596674 30723 5.15 158772 11602 7.31 133553.64
34 Kansas 292507 27592 9.43 74728 8905 11.92 100403.53
35 Nebraska 275259 26391 9.59 71405 5393 7.55 142296.25
36 Idaho 181873 21110 11.61 59524 10604 17.81 101487.95
37 New Mexico 558012 20796 3.73 154431 6023 3.90 266121.84
38 Rhode Island 206016 19022 9.23 39361 1710 4.34 194471.95
39 Oregon 409616 18817 4.59 117433 6966 5.93 97117.48
41 Delaware 182896 14877 8.13 48781 2134 4.37 187823.74
42 District of Columbia 193781 12057 6.22 69731 1256 1.80 274574.96
43 South Dakota 112932 8867 7.85 23326 1413 6.06 127655.97
44 West Virginia 287224 6738 2.35 83401 2592 3.11 160716.49
45 New Hampshire 160962 6614 4.11 28660 590 2.06 118379.57
46 North Dakota 156185 6602 4.23 35334 2359 6.68 204950.52
47 Montana 171553 4081 2.38 58194 2404 4.13 160513.22
48 Maine 169746 3937 2.32 51319 417 0.81 126279.19
49 Alaska 238633 3136 1.31 95257 1751 1.84 326204.13
50 Wyoming 53342 2769 5.19 13426 930 6.93 92166.17
51 Hawaii 123251 2197 1.78 31017 997 3.21 87049.54
52 Vermont 95392 1421 1.49 20360 138 0.68 152874.49

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 441228 9509 2.20 276809 62.74 148537 15576 260 1.70 3.53
Tamil Nadu 257613 5875 2.33 196483 76.27 56998 4132 98 2.43 1.60
Andhra Pradesh 158764 8555 5.70 82886 52.21 74404 1474 67 4.76 0.93
Delhi 137677 961 0.70 123317 89.57 10356 4004 15 0.38 2.91
Karnataka 134819 5532 4.28 57725 42.82 74589 2496 84 3.48 1.85
Uttar Pradesh 92921 3873 4.35 53357 57.42 37834 1730 53 3.16 1.86
West Bengal 75516 2739 3.76 52730 69.83 21108 1678 49 3.01 2.22
Telangana 66677 1891 2.92 47590 71.37 18547 540 10 1.89 0.81
Gujarat 63675 1101 1.76 46689 73.32 14504 2482 22 0.89 3.90
Bihar 57270 2762 5.07 36637 63.97 20310 322 10 3.21 0.56
Rajasthan 44410 1167 2.70 31216 70.29 12488 706 12 1.73 1.59
Assam 42905 1178 2.82 32385 75.48 10412 105 4 3.96 0.24
Haryana 36519 761 2.13 29690 81.30 6396 433 5 1.17 1.19
Odisha 34913 1434 4.28 21955 62.88 12722 236 11 4.89 0.68
Madhya Pradesh 33535 921 2.82 23550 70.23 9099 886 10 1.14 2.64
Kerala 25912 1169 4.72 14463 55.82 11342 83 1 1.22 0.32
Jammu and Kashmir 21416 444 2.12 13127 61.30 7893 396 8 2.06 1.85
Punjab 17853 790 4.63 11466 64.22 5964 423 18 4.44 2.37
Jharkhand 12559 455 3.76 4682 37.28 7759 118 4 3.51 0.94
Chhattisgarh 9608 181 1.92 6991 72.76 2559 58 3 5.45 0.60
Uttarakhand 7593 146 1.96 4437 58.44 3032 86 3 3.61 1.13
Goa 6530 337 5.44 4668 71.49 1809 53 5 10.42 0.81
Tripura 5248 252 5.04 3463 65.99 1744 23 2 9.52 0.44
Puducherry 3806 200 5.55 2309 60.67 1445 52 1 1.96 1.37
Manipur 2831 75 2.72 1737 61.36 1087 7 1 16.67 0.25
Himachal Pradesh 2703 69 2.62 1559 57.68 1114 13 0 0.00 0.48
Nagaland 1935 104 5.68 648 33.49 1279 4 0 0.00 0.21
Arunachal Pradesh 1698 24 1.43 996 58.66 699 3 0 0.00 0.18
Ladakh 1466 4 0.27 1108 75.58 351 7 0 0.00 0.48
Dadra and Nagar Haveli and Daman and Diu 1249 55 4.61 804 64.37 432 2 0 0.00 0.16
Chandigarh 1117 38 3.52 698 62.49 399 19 1 5.56 1.70
Meghalaya 874 18 2.10 264 30.21 605 5 0 0.00 0.57
Andaman and Nicobar Islands 734 98 15.41 242 32.97 483 8 1 14.29 1.09
Sikkim 658 8 1.23 289 43.92 368 1 0 0.00 0.15
Mizoram 470 2 0.43 258 54.89 211 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1308507 96274 55 0.06 7.36 158 9 5955 16807 17.46
Piemonte 501784 31683 16 0.05 6.31 96 5 801 4129 13.03
Emilia-Romagna 665741 29726 56 0.19 4.47 67 4 1510 4291 14.44
Veneto 1243701 20166 46 0.23 1.62 28 4 1001 2075 10.29
Toscana 427761 10489 6 0.06 2.45 16 0 392 1135 10.82
Liguria 190749 10230 16 0.16 5.36 19 0 213 1567 15.32
Lazio 419071 8665 18 0.21 2.07 172 9 950 863 9.96
Marche 167946 6889 5 0.07 4.10 8 0 144 987 14.33
Campania 334998 5009 10 0.20 1.50 39 3 397 435 8.68
P.A. Trento 154461 4975 0 0.00 3.22 1 0 99 405 8.14
Puglia 241836 4631 20 0.43 1.91 19 0 112 552 11.92
Friuli Venezia Giulia 254163 3401 7 0.21 1.34 8 3 129 345 10.14
Abruzzo 129601 3387 5 0.15 2.61 13 1 115 472 13.94
Sicilia 279516 3298 10 0.30 1.18 36 3 281 283 8.58
P.A. Bolzano 106169 2725 8 0.29 2.57 6 1 107 292 10.72
Umbria 121784 1472 6 0.41 1.21 7 0 24 80 5.43
Sardegna 107039 1410 6 0.43 1.32 4 0 39 134 9.50
Calabria 121803 1269 3 0.24 1.04 4 1 97 97 7.64
Valle d’Aosta 21588 1208 0 0.00 5.60 1 0 12 146 12.09
Molise 27849 473 2 0.42 1.70 1 0 29 23 4.86
Basilicata 47429 452 0 0.00 0.95 2 0 50 28 6.19

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 59458 146 0.25 5678 4 0.07 9.55 6964.19 665.05 1 in 144
Ontario 41257 79 0.19 2821 2 0.07 6.84 2804.34 191.75 1 in 357
Alberta 10843 0 0.00 196 0 0.00 1.81 2456.98 44.41 1 in 407
British Columbia 3641 0 0.00 195 0 0.00 5.36 712.40 38.15 1 in 1404
Saskatchewan 1334 15 1.14 18 0 0.00 1.35 1128.91 15.23 1 in 886
Nova Scotia 1069 0 0.00 64 0 0.00 5.99 1093.65 65.48 1 in 914
Manitoba 417 2 0.48 8 0 0.00 1.92 302.72 5.81 1 in 3303
Newfoundland and Labrador 266 0 0.00 3 0 0.00 1.13 510.20 5.75 1 in 1960
New Brunswick 170 0 0.00 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 14 0 0.00 0 0 NaN 0.00 340.82 0.00 1 in 2934
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68138 4512 6.62
Hong Kong 3396 33 0.97
Guangdong 1682 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Beijing 933 9 0.96
Jiangxi 932 1 0.11
Shandong 802 7 0.87
Shanghai 749 7 0.93
Xinjiang 668 3 0.45
Jiangsu 655 0 0.00
Sichuan 608 3 0.49
Chongqing 583 6 1.03
Fujian 367 1 0.27
Hebei 349 6 1.72
Shaanxi 326 3 0.92
Inner Mongolia 258 1 0.39
Guangxi 255 2 0.78
Liaoning 244 2 0.82
Tianjin 205 3 1.46
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 14121.16 472.03 1 in 71
Brazil 12937.78 447.03 1 in 77
India 1307.49 27.90 1 in 765
Russia 5840.07 97.12 1 in 171
South Africa 8873.24 143.74 1 in 113
Mexico 3360.63 367.43 1 in 298
Peru 12666.83 591.27 1 in 79
Chile 19814.85 528.14 1 in 50
Iran 3779.60 209.24 1 in 265
Colombia 6239.68 210.52 1 in 160
United Kingdom 4599.22 696.54 1 in 217
Spain 6183.50 609.62 1 in 162
Pakistan 1412.72 30.21 1 in 708
Saudi Arabia 8423.74 87.64 1 in 119
Italy 4097.75 581.12 1 in 244
Bangladesh NA NA 1 in NA
Turkey 2869.31 70.66 1 in 349
France 3361.67 451.83 1 in 297
Germany 2548.68 110.57 1 in 392
Argentina 4439.64 81.23 1 in 225

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 225460 23536 10.44
Los Angeles California 190857 4669 2.45
Miami-Dade Florida 121207 1647 1.36
Maricopa Arizona 119295 2089 1.75
Cook Illinois 106131 4888 4.61
Harris Texas 74881 749 1.00
Broward Florida 56797 742 1.31
Dallas Texas 50590 681 1.35
Suffolk New York 43300 1996 4.61
Nassau New York 43271 2194 5.07
Clark Nevada 42167 688 1.63
Bexar Texas 40803 611 1.50
Riverside California 37011 695 1.88
Orange California 36833 649 1.76
Westchester New York 35974 1445 4.02
Palm Beach Florida 33854 833 2.46
San Bernardino California 32696 417 1.28
Philadelphia Pennsylvania 30354 1690 5.57
Hillsborough Florida 29589 341 1.15
Orange Florida 29466 232 0.79
San Diego California 29048 561 1.93
Tarrant Texas 28410 378 1.33
Wayne Michigan 27183 2803 10.31
Middlesex Massachusetts 25801 1983 7.69
Prince George’s Maryland 22606 741 3.28
Duval Florida 21322 157 0.74
Suffolk Massachusetts 21279 1057 4.97
Shelby Tennessee 21021 284 1.35
Travis Texas 20745 234 1.13
Mecklenburg North Carolina 20679 210 1.02
Bergen New Jersey 20494 2040 9.95
Kern California 19882 144 0.72
Milwaukee Wisconsin 19519 446 2.28
Essex New Jersey 19505 2102 10.78
Hudson New Jersey 19497 1501 7.70
Salt Lake Utah 19237 176 0.91
Davidson Tennessee 19176 198 1.03
Fulton Georgia 17858 398 2.23
Fairfield Connecticut 17793 1406 7.90
Middlesex New Jersey 17700 1404 7.93
Montgomery Maryland 17665 789 4.47
Hennepin Minnesota 17547 815 4.64
Gwinnett Georgia 17511 240 1.37
Passaic New Jersey 17465 1242 7.11
Essex Massachusetts 17305 1182 6.83
Hidalgo Texas 17006 644 3.79
Franklin Ohio 16952 513 3.03
Pinellas Florida 16604 437 2.63
Union New Jersey 16545 1347 8.14
Pima Arizona 16475 462 2.80
Fairfax Virginia 15689 522 3.33
Lee Florida 15551 300 1.93
King Washington 15390 655 4.26
Out of GA Georgia 15178 81 0.53
Oakland Michigan 14721 1126 7.65
Marion Indiana 14578 718 4.93
Providence Rhode Island 14549 0 0.00
Fresno California 14439 138 0.96
El Paso Texas 14410 248 1.72
Jefferson Louisiana 14155 513 3.62
Rockland New York 13880 674 4.86
Worcester Massachusetts 13376 991 7.41
St. Louis Missouri 13162 650 4.94
New Haven Connecticut 13041 1101 8.44
Polk Florida 12735 269 2.11
Hartford Connecticut 12645 1412 11.17
Cuyahoga Ohio 12518 475 3.79
DeKalb Georgia 12348 225 1.82
Nueces Texas 12301 176 1.43
District of Columbia District of Columbia 12057 584 4.84
Baltimore Maryland 11997 549 4.58
Lake Illinois 11952 440 3.68
Alameda California 11484 189 1.65
San Joaquin California 11483 168 1.46
Charleston South Carolina 11471 165 1.44
Jefferson Alabama 11465 225 1.96
Cobb Georgia 11436 298 2.61
Baltimore City Maryland 11406 409 3.59
DuPage Illinois 11380 510 4.48
Orange New York 11088 489 4.41
Yuma Arizona 11078 254 2.29
Cameron Texas 10971 346 3.15
Wake North Carolina 10969 132 1.20
East Baton Rouge Louisiana 10690 326 3.05
Ocean New Jersey 10439 1015 9.72
Douglas Nebraska 10340 131 1.27
Santa Clara California 10321 191 1.85
Norfolk Massachusetts 10305 986 9.57
Orleans Louisiana 10255 560 5.46
Greenville South Carolina 10139 187 1.84
Monmouth New Jersey 10093 858 8.50
Yakima Washington 9961 204 2.05
Sacramento California 9820 133 1.35
Montgomery Pennsylvania 9813 850 8.66
Denver Colorado 9693 413 4.26
Collier Florida 9662 124 1.28
Polk Iowa 9609 202 2.10
Macomb Michigan 9565 936 9.79
Tulare California 9454 178 1.88
Imperial California 9409 220 2.34

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc